venice-mcp
MCP 服务配置
复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用
{
"mcpServers": {
"venice": {
"args": [
"-y",
"venice-mcp"
],
"command": "npx",
"env": {
"VENICE_API_KEY": "your-api-key-here"
}
}
}
}服务介绍
Venice MCP Server
A Model Context Protocol (MCP) server for Venice AI. Gives AI assistants like Claude access to Venice's text generation, image creation, text-to-speech, embeddings, and account management APIs.
What It Does
This MCP server lets Claude (or any MCP-compatible assistant) use Venice AI's features directly:
- Chat with Llama, DeepSeek, Qwen, and other open models
- Generate images using Stable Diffusion, FLUX, and more
- Create speech from text with natural-sounding voices
- Generate embeddings for search and RAG applications
- Manage API keys and monitor rate limits
Quick Start
1. Get a Venice API Key
Sign up at venice.ai and create an API key in Settings API.
2. Install
npm install -g venice-mcp
3. Configure Claude Desktop
Add to your config file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
{
"mcpServers": {
"venice": {
"command": "npx",
"args": ["-y", "venice-mcp"],
"env": {
"VENICE_API_KEY": "your-api-key-here"
}
}
}
}
Restart Claude Desktop. You'll see Venice tools available in the menu.
Available Tools
Generation
| Tool | Description |
|---|---|
venice_chat |
Chat with Venice AI language models |
venice_generate_image |
Generate images from text descriptions |
venice_upscale_image |
Upscale and enhance images |
venice_text_to_speech |
Convert text to spoken audio |
venice_create_embeddings |
Generate text embeddings |
Discovery
| Tool | Description |
|---|---|
venice_list_models |
List available models (text, image, code) |
venice_list_characters |
List character personas |
venice_list_image_styles |
List image style presets |
Account Management
Requires an admin-level API key:
| Tool | Description |
|---|---|
venice_list_api_keys |
List all API keys |
venice_create_api_key |
Create a new API key |
venice_retrieve_api_key |
Get details for a key |
venice_delete_api_key |
Delete an API key |
venice_get_rate_limits |
View rate limits and usage |
venice_get_rate_limit_logs |
View rate limit history |
Examples
Ask Claude to generate an image:
"Use Venice to create an image of a sunset over mountains"
Chat with a specific model:
"Ask Venice's DeepSeek model to explain quantum computing"
Check your usage:
"Show my Venice API rate limits"
Supported Models
Language Models: Llama 3.3 70B, DeepSeek R1, Qwen 3, Mistral, and more
Image Models: Stable Diffusion 3.5, FLUX, Fluently XL
Embeddings: BGE-M3 (1024 dimensions)
TTS: Kokoro with multiple voice options
Run venice_list_models to see all currently available models.
Requirements
- Node.js 18+
- Venice AI API key
Links
- Venice AI - Platform home
- Venice API Docs - API reference
- MCP Documentation - Protocol spec
License
MIT - see LICENSE
